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\n\n \n \n \n \n \n \n Lambek-Grishin Calculus: focusing, display and full polarization: Extended abstract.\n \n \n \n \n\n\n \n Giuseppe Greco, Michael Moortgat, Valentin D. Richard, & Apostolos Tzimoulis.\n\n\n \n\n\n\n In Clementino Maria Manuel, Jipsen Peter, & Picardo Jorge., editor(s),
Book of Abstracts from Topology, Algebra, and Categories in Logic (TACL 2022), pages 79–81, Coimbra, Portugal, June 2022. \n
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@inproceedings{Greco_etal_extabstr::2022,\n\taddress = {Coimbra, Portugal},\n\ttitle = {Lambek-{Grishin} {Calculus}: focusing, display and full polarization: {Extended} abstract},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Lambek-{Grishin} {Calculus}},\n\turl = {https://valentin-d-richard.fr/Publications/2021-Greco-etal-fDLG-extabstr},\n\turldate = {2022-07-19},\n\tbooktitle = {Book of {Abstracts} from {Topology}, {Algebra}, and {Categories} in {Logic} ({TACL} 2022)},\n\tauthor = {Greco, Giuseppe and Moortgat, Michael and Richard, Valentin D. and Tzimoulis, Apostolos},\n\teditor = {Maria Manuel, Clementino and Peter, Jipsen and Jorge, Picardo},\n\tmonth = jun,\n\tyear = {2022},\n\tpages = {79--81},\n}\n\n
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\n\n \n \n \n \n \n \n Is natural language processing (NLP) going in the right direction?: Getting started with NLP ethics.\n \n \n \n \n\n\n \n Valentin D. Richard.\n\n\n \n\n\n\n October 2022.\n
PhD seminar at Loria, Nancy, France\n\n
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@misc{Richard_ethics:2022,\n\taddress = {Loria, Nancy, France},\n\ttype = {Presentation},\n\ttitle = {Is natural language processing ({NLP}) going in the right direction?: {Getting} started with {NLP} ethics},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Is natural language processing ({NLP}) going in the right direction?},\n\turl = {https://hal.science/hal-03813509},\n\tabstract = {In just a few decades, natural language processing (NLP) developed tremendously. By gaining access to extremely large natural language data and engineering scalable powerful architectures, language models managed to score well at a lot of tasks. As a result, NLP technologies are now being extensively commercialized, so much so that our everyday life is inescapably exposed to these systems. However, awareness about the risks of these technologies and NLP practice in general is not as well widespread. This raises issues regarding the use of such programmes and their harms. In this talk, I would like to discuss these problems. After some recap about modern-day NLP, I present some major issues pertaining to this field, and I sketch possible solutions.},\n\tlanguage = {en},\n\tauthor = {Richard, Valentin D.},\n\tmonth = oct,\n\tyear = {2022},\n\tnote = {PhD seminar at Loria, Nancy, France},\n}\n\n
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\n In just a few decades, natural language processing (NLP) developed tremendously. By gaining access to extremely large natural language data and engineering scalable powerful architectures, language models managed to score well at a lot of tasks. As a result, NLP technologies are now being extensively commercialized, so much so that our everyday life is inescapably exposed to these systems. However, awareness about the risks of these technologies and NLP practice in general is not as well widespread. This raises issues regarding the use of such programmes and their harms. In this talk, I would like to discuss these problems. After some recap about modern-day NLP, I present some major issues pertaining to this field, and I sketch possible solutions.\n
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\n\n \n \n \n \n \n \n Introducing Proof Tree Automata and Proof Tree Graphs: Extended abstract.\n \n \n \n \n\n\n \n Valentin D. Richard.\n\n\n \n\n\n\n In Åsa Hirvonen, & Fernando Velázquez-Quesada., editor(s),
SLSS 2022 - 11th Scandinavian Logic Symposium, pages 10–12, Bergen, Norway, June 2022. \n
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@inproceedings{Richard_pta_extabstr::2022,\n\taddress = {Bergen, Norway},\n\ttitle = {Introducing {Proof} {Tree} {Automata} and {Proof} {Tree} {Graphs}: {Extended} abstract},\n\tcopyright = {All rights reserved},\n\turl = {https://valentin-d-richard.fr/Publications/2022-Richard-pta},\n\tabstract = {In structural proof theory, designing and working on large calculi make it difficult to get intuitions about each rule individually and as part of a whole system. We introduce two novel tools to help working on calculi using the approach of graph theory and automata theory. The first tool is a Proof Tree Automaton (PTA): a tree automaton which language is the derivation language of a calculus. The second tool is a graphical representation of a calculus called Proof Tree Graph (PTG). In this directed hypergraph, vertices are sets of terms (e.g. sequents) and hyperarcs are rules. We explore properties of PTA and PTGs and how they relate to each other. We show that we can decompose a PTA as a partial map from a calculus to a traditional tree automaton. We formulate that statement in the theory of refinement systems. Finally, we compare our framework to proof nets and string diagrams.},\n\turldate = {2022-07-19},\n\tbooktitle = {{SLSS} 2022 - 11th {Scandinavian} {Logic} {Symposium}},\n\tauthor = {Richard, Valentin D.},\n\teditor = {Hirvonen, Åsa and Velázquez-Quesada, Fernando},\n\tmonth = jun,\n\tyear = {2022},\n\tpages = {10--12},\n}\n\n
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\n In structural proof theory, designing and working on large calculi make it difficult to get intuitions about each rule individually and as part of a whole system. We introduce two novel tools to help working on calculi using the approach of graph theory and automata theory. The first tool is a Proof Tree Automaton (PTA): a tree automaton which language is the derivation language of a calculus. The second tool is a graphical representation of a calculus called Proof Tree Graph (PTG). In this directed hypergraph, vertices are sets of terms (e.g. sequents) and hyperarcs are rules. We explore properties of PTA and PTGs and how they relate to each other. We show that we can decompose a PTA as a partial map from a calculus to a traditional tree automaton. We formulate that statement in the theory of refinement systems. Finally, we compare our framework to proof nets and string diagrams.\n
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\n\n \n \n \n \n \n \n Simulating feature structures with simple types.\n \n \n \n \n\n\n \n Valentin D. Richard.\n\n\n \n\n\n\n In
Proceedings of the 2022 conference of the north american chapter of the association for computational linguistics: Human language technologies: Student research workshop, pages 113–122, Hybrid: Seattle, Washington + Online, July 2022. Association for Computational Linguistics\n
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@inproceedings{Richard_macg::2022,\n\taddress = {Hybrid: Seattle, Washington + Online},\n\ttitle = {Simulating feature structures with simple types},\n\tcopyright = {All rights reserved},\n\turl = {https://valentin-d-richard.fr/Publications/2022-Richard-macg},\n\tabstract = {Feature structures have been several times considered to enrich categorial grammars in order to build fine-grained grammars. Most attempts to unify both frameworks either model categorial types as feature structures or add feature structures on top of categorial types. We pursue a different approach: using feature structure as categorial atomic types. In this article, we present a procedure to create, from a simplified HPSG grammar, an equivalent abstract categorial grammar (ACG). We represent a feature structure by the enumeration of its totally well-typed upper bounds, so that unification can be simulated as intersection. We implement this idea as a meta-ACG preprocessor.},\n\tbooktitle = {Proceedings of the 2022 conference of the north american chapter of the association for computational linguistics: {Human} language technologies: {Student} research workshop},\n\tpublisher = {Association for Computational Linguistics},\n\tauthor = {Richard, Valentin D.},\n\tmonth = jul,\n\tyear = {2022},\n\tpages = {113--122},\n}\n
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\n Feature structures have been several times considered to enrich categorial grammars in order to build fine-grained grammars. Most attempts to unify both frameworks either model categorial types as feature structures or add feature structures on top of categorial types. We pursue a different approach: using feature structure as categorial atomic types. In this article, we present a procedure to create, from a simplified HPSG grammar, an equivalent abstract categorial grammar (ACG). We represent a feature structure by the enumeration of its totally well-typed upper bounds, so that unification can be simulated as intersection. We implement this idea as a meta-ACG preprocessor.\n
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